An efficient sparse channel estimator combining time-domain LS and iterative shrinkage for OFDM systems with IQ-imbalances

作     者：STEVAN Berber 

作者机构：Department of Electrical and Computer EngineeringUniversity of AucklandAuckland 1142New Zealand 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2012年第55卷第11期

页      面：2604-2610页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

基　　金：supported in part by National Natural Science Foundation of China (Grant Nos. 61172073,61271230) the open research fund of National Mobile Communications Research Laboratory (Grant No.2010D13),Southeast University,China 

主　　题：iterative shrinkage time-domain least square IQ imbalance channel estimation 

摘      要：A time-domain(TD) least square(LS) channel estimator is first proposed to estimate channel parameters of OFDM system with IQ imbalances at both transmitter and ***,an iterative shrinkage(IS) algorithm from compressed sensing is adopted to further improve the estimation performance by using the TD-LS solution as the initial value of IS in the case of sparse *** shows that our algorithm combining TD-LS and IS performs better on bit error rate than the frequency-domain LS and matching pursuit in sparse Hilly Terrain channel when the same LS equalizer is adopted.